// Copyright 2019 The Cockroach Authors.
// Copyright (c) 2022-present, Shanghai Yunxi Technology Co, Ltd. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
// This software (KWDB) is licensed under Mulan PSL v2.
// You can use this software according to the terms and conditions of the Mulan PSL v2.
// You may obtain a copy of Mulan PSL v2 at:
//          http://license.coscl.org.cn/MulanPSL2
// THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
// EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
// MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
// See the Mulan PSL v2 for more details.

package faker

// The movr workload uses this library and is built into the kwbase binary.
// The common case is that someone won't be using movr, so avoid the allocations
// by using functions instead of static dicts.

func words() *weightedEntries {
	return makeWeightedEntries(
		`a`, 1.0,
		`ability`, 1.0,
		`able`, 1.0,
		`about`, 1.0,
		`above`, 1.0,
		`accept`, 1.0,
		`according`, 1.0,
		`account`, 1.0,
		`across`, 1.0,
		`act`, 1.0,
		`action`, 1.0,
		`activity`, 1.0,
		`actually`, 1.0,
		`add`, 1.0,
		`address`, 1.0,
		`administration`, 1.0,
		`admit`, 1.0,
		`adult`, 1.0,
		`affect`, 1.0,
		`after`, 1.0,
		`again`, 1.0,
		`against`, 1.0,
		`age`, 1.0,
		`agency`, 1.0,
		`agent`, 1.0,
		`ago`, 1.0,
		`agree`, 1.0,
		`agreement`, 1.0,
		`ahead`, 1.0,
		`air`, 1.0,
		`all`, 1.0,
		`allow`, 1.0,
		`almost`, 1.0,
		`alone`, 1.0,
		`along`, 1.0,
		`already`, 1.0,
		`also`, 1.0,
		`although`, 1.0,
		`always`, 1.0,
		`American`, 1.0,
		`among`, 1.0,
		`amount`, 1.0,
		`analysis`, 1.0,
		`and`, 1.0,
		`animal`, 1.0,
		`another`, 1.0,
		`answer`, 1.0,
		`any`, 1.0,
		`anyone`, 1.0,
		`anything`, 1.0,
		`appear`, 1.0,
		`apply`, 1.0,
		`approach`, 1.0,
		`area`, 1.0,
		`argue`, 1.0,
		`arm`, 1.0,
		`around`, 1.0,
		`arrive`, 1.0,
		`art`, 1.0,
		`article`, 1.0,
		`artist`, 1.0,
		`as`, 1.0,
		`ask`, 1.0,
		`assume`, 1.0,
		`at`, 1.0,
		`attack`, 1.0,
		`attention`, 1.0,
		`attorney`, 1.0,
		`audience`, 1.0,
		`author`, 1.0,
		`authority`, 1.0,
		`available`, 1.0,
		`avoid`, 1.0,
		`away`, 1.0,
		`baby`, 1.0,
		`back`, 1.0,
		`bad`, 1.0,
		`bag`, 1.0,
		`ball`, 1.0,
		`bank`, 1.0,
		`bar`, 1.0,
		`base`, 1.0,
		`be`, 1.0,
		`beat`, 1.0,
		`beautiful`, 1.0,
		`because`, 1.0,
		`become`, 1.0,
		`bed`, 1.0,
		`before`, 1.0,
		`begin`, 1.0,
		`behavior`, 1.0,
		`behind`, 1.0,
		`believe`, 1.0,
		`benefit`, 1.0,
		`best`, 1.0,
		`better`, 1.0,
		`between`, 1.0,
		`beyond`, 1.0,
		`big`, 1.0,
		`bill`, 1.0,
		`billion`, 1.0,
		`bit`, 1.0,
		`black`, 1.0,
		`blood`, 1.0,
		`blue`, 1.0,
		`board`, 1.0,
		`body`, 1.0,
		`book`, 1.0,
		`born`, 1.0,
		`both`, 1.0,
		`box`, 1.0,
		`boy`, 1.0,
		`break`, 1.0,
		`bring`, 1.0,
		`brother`, 1.0,
		`budget`, 1.0,
		`build`, 1.0,
		`building`, 1.0,
		`business`, 1.0,
		`but`, 1.0,
		`buy`, 1.0,
		`by`, 1.0,
		`call`, 1.0,
		`camera`, 1.0,
		`campaign`, 1.0,
		`can`, 1.0,
		`candidate`, 1.0,
		`capital`, 1.0,
		`car`, 1.0,
		`card`, 1.0,
		`care`, 1.0,
		`career`, 1.0,
		`carry`, 1.0,
		`case`, 1.0,
		`catch`, 1.0,
		`cause`, 1.0,
		`cell`, 1.0,
		`center`, 1.0,
		`central`, 1.0,
		`century`, 1.0,
		`certain`, 1.0,
		`certainly`, 1.0,
		`chair`, 1.0,
		`challenge`, 1.0,
		`chance`, 1.0,
		`change`, 1.0,
		`character`, 1.0,
		`charge`, 1.0,
		`check`, 1.0,
		`child`, 1.0,
		`choice`, 1.0,
		`choose`, 1.0,
		`church`, 1.0,
		`citizen`, 1.0,
		`city`, 1.0,
		`civil`, 1.0,
		`claim`, 1.0,
		`class`, 1.0,
		`clear`, 1.0,
		`clearly`, 1.0,
		`close`, 1.0,
		`coach`, 1.0,
		`cold`, 1.0,
		`collection`, 1.0,
		`college`, 1.0,
		`color`, 1.0,
		`commercial`, 1.0,
		`common`, 1.0,
		`community`, 1.0,
		`company`, 1.0,
		`compare`, 1.0,
		`computer`, 1.0,
		`concern`, 1.0,
		`condition`, 1.0,
		`conference`, 1.0,
		`Congress`, 1.0,
		`consider`, 1.0,
		`consumer`, 1.0,
		`contain`, 1.0,
		`continue`, 1.0,
		`control`, 1.0,
		`cost`, 1.0,
		`could`, 1.0,
		`country`, 1.0,
		`couple`, 1.0,
		`course`, 1.0,
		`court`, 1.0,
		`cover`, 1.0,
		`create`, 1.0,
		`crime`, 1.0,
		`cultural`, 1.0,
		`culture`, 1.0,
		`cup`, 1.0,
		`current`, 1.0,
		`customer`, 1.0,
		`cut`, 1.0,
		`dark`, 1.0,
		`data`, 1.0,
		`daughter`, 1.0,
		`day`, 1.0,
		`deal`, 1.0,
		`debate`, 1.0,
		`decade`, 1.0,
		`decide`, 1.0,
		`decision`, 1.0,
		`deep`, 1.0,
		`defense`, 1.0,
		`degree`, 1.0,
		`Democrat`, 1.0,
		`democratic`, 1.0,
		`describe`, 1.0,
		`design`, 1.0,
		`despite`, 1.0,
		`detail`, 1.0,
		`determine`, 1.0,
		`develop`, 1.0,
		`development`, 1.0,
		`difference`, 1.0,
		`different`, 1.0,
		`difficult`, 1.0,
		`dinner`, 1.0,
		`direction`, 1.0,
		`director`, 1.0,
		`discover`, 1.0,
		`discuss`, 1.0,
		`discussion`, 1.0,
		`do`, 1.0,
		`doctor`, 1.0,
		`dog`, 1.0,
		`door`, 1.0,
		`down`, 1.0,
		`draw`, 1.0,
		`dream`, 1.0,
		`drive`, 1.0,
		`drop`, 1.0,
		`drug`, 1.0,
		`during`, 1.0,
		`each`, 1.0,
		`early`, 1.0,
		`east`, 1.0,
		`easy`, 1.0,
		`eat`, 1.0,
		`economic`, 1.0,
		`economy`, 1.0,
		`edge`, 1.0,
		`education`, 1.0,
		`effect`, 1.0,
		`effort`, 1.0,
		`eight`, 1.0,
		`either`, 1.0,
		`election`, 1.0,
		`else`, 1.0,
		`employee`, 1.0,
		`end`, 1.0,
		`energy`, 1.0,
		`enjoy`, 1.0,
		`enough`, 1.0,
		`enter`, 1.0,
		`entire`, 1.0,
		`environment`, 1.0,
		`environmental`, 1.0,
		`especially`, 1.0,
		`establish`, 1.0,
		`even`, 1.0,
		`evening`, 1.0,
		`event`, 1.0,
		`ever`, 1.0,
		`every`, 1.0,
		`everybody`, 1.0,
		`everyone`, 1.0,
		`everything`, 1.0,
		`evidence`, 1.0,
		`exactly`, 1.0,
		`example`, 1.0,
		`executive`, 1.0,
		`exist`, 1.0,
		`expect`, 1.0,
		`experience`, 1.0,
		`expert`, 1.0,
		`explain`, 1.0,
		`eye`, 1.0,
		`face`, 1.0,
		`fact`, 1.0,
		`factor`, 1.0,
		`fall`, 1.0,
		`family`, 1.0,
		`far`, 1.0,
		`fast`, 1.0,
		`father`, 1.0,
		`fear`, 1.0,
		`federal`, 1.0,
		`feel`, 1.0,
		`feeling`, 1.0,
		`few`, 1.0,
		`field`, 1.0,
		`fight`, 1.0,
		`figure`, 1.0,
		`fill`, 1.0,
		`film`, 1.0,
		`final`, 1.0,
		`finally`, 1.0,
		`financial`, 1.0,
		`find`, 1.0,
		`fine`, 1.0,
		`finish`, 1.0,
		`fire`, 1.0,
		`firm`, 1.0,
		`first`, 1.0,
		`fish`, 1.0,
		`five`, 1.0,
		`floor`, 1.0,
		`fly`, 1.0,
		`focus`, 1.0,
		`follow`, 1.0,
		`food`, 1.0,
		`foot`, 1.0,
		`for`, 1.0,
		`force`, 1.0,
		`foreign`, 1.0,
		`forget`, 1.0,
		`form`, 1.0,
		`former`, 1.0,
		`forward`, 1.0,
		`four`, 1.0,
		`free`, 1.0,
		`friend`, 1.0,
		`from`, 1.0,
		`front`, 1.0,
		`full`, 1.0,
		`fund`, 1.0,
		`future`, 1.0,
		`game`, 1.0,
		`garden`, 1.0,
		`gas`, 1.0,
		`general`, 1.0,
		`generation`, 1.0,
		`get`, 1.0,
		`girl`, 1.0,
		`give`, 1.0,
		`glass`, 1.0,
		`go`, 1.0,
		`goal`, 1.0,
		`good`, 1.0,
		`government`, 1.0,
		`great`, 1.0,
		`green`, 1.0,
		`ground`, 1.0,
		`group`, 1.0,
		`grow`, 1.0,
		`growth`, 1.0,
		`guess`, 1.0,
		`gun`, 1.0,
		`guy`, 1.0,
		`hair`, 1.0,
		`half`, 1.0,
		`hand`, 1.0,
		`happen`, 1.0,
		`happy`, 1.0,
		`hard`, 1.0,
		`have`, 1.0,
		`he`, 1.0,
		`head`, 1.0,
		`health`, 1.0,
		`hear`, 1.0,
		`heart`, 1.0,
		`heavy`, 1.0,
		`help`, 1.0,
		`her`, 1.0,
		`here`, 1.0,
		`herself`, 1.0,
		`high`, 1.0,
		`him`, 1.0,
		`himself`, 1.0,
		`his`, 1.0,
		`history`, 1.0,
		`hit`, 1.0,
		`hold`, 1.0,
		`home`, 1.0,
		`hope`, 1.0,
		`hospital`, 1.0,
		`hot`, 1.0,
		`hotel`, 1.0,
		`hour`, 1.0,
		`house`, 1.0,
		`how`, 1.0,
		`however`, 1.0,
		`huge`, 1.0,
		`human`, 1.0,
		`hundred`, 1.0,
		`husband`, 1.0,
		`I`, 1.0,
		`idea`, 1.0,
		`identify`, 1.0,
		`if`, 1.0,
		`image`, 1.0,
		`imagine`, 1.0,
		`impact`, 1.0,
		`important`, 1.0,
		`improve`, 1.0,
		`in`, 1.0,
		`include`, 1.0,
		`including`, 1.0,
		`increase`, 1.0,
		`indeed`, 1.0,
		`indicate`, 1.0,
		`individual`, 1.0,
		`industry`, 1.0,
		`information`, 1.0,
		`inside`, 1.0,
		`instead`, 1.0,
		`institution`, 1.0,
		`interest`, 1.0,
		`interesting`, 1.0,
		`international`, 1.0,
		`interview`, 1.0,
		`into`, 1.0,
		`investment`, 1.0,
		`involve`, 1.0,
		`issue`, 1.0,
		`it`, 1.0,
		`item`, 1.0,
		`its`, 1.0,
		`itself`, 1.0,
		`job`, 1.0,
		`join`, 1.0,
		`just`, 1.0,
		`keep`, 1.0,
		`key`, 1.0,
		`kid`, 1.0,
		`kind`, 1.0,
		`kitchen`, 1.0,
		`know`, 1.0,
		`knowledge`, 1.0,
		`land`, 1.0,
		`language`, 1.0,
		`large`, 1.0,
		`last`, 1.0,
		`late`, 1.0,
		`later`, 1.0,
		`laugh`, 1.0,
		`law`, 1.0,
		`lawyer`, 1.0,
		`lay`, 1.0,
		`lead`, 1.0,
		`leader`, 1.0,
		`learn`, 1.0,
		`least`, 1.0,
		`leave`, 1.0,
		`left`, 1.0,
		`leg`, 1.0,
		`less`, 1.0,
		`let`, 1.0,
		`letter`, 1.0,
		`level`, 1.0,
		`life`, 1.0,
		`light`, 1.0,
		`like`, 1.0,
		`likely`, 1.0,
		`line`, 1.0,
		`list`, 1.0,
		`listen`, 1.0,
		`little`, 1.0,
		`live`, 1.0,
		`local`, 1.0,
		`long`, 1.0,
		`look`, 1.0,
		`lose`, 1.0,
		`loss`, 1.0,
		`lot`, 1.0,
		`low`, 1.0,
		`machine`, 1.0,
		`magazine`, 1.0,
		`main`, 1.0,
		`maintain`, 1.0,
		`major`, 1.0,
		`majority`, 1.0,
		`make`, 1.0,
		`man`, 1.0,
		`manage`, 1.0,
		`management`, 1.0,
		`manager`, 1.0,
		`many`, 1.0,
		`market`, 1.0,
		`marriage`, 1.0,
		`material`, 1.0,
		`matter`, 1.0,
		`may`, 1.0,
		`maybe`, 1.0,
		`me`, 1.0,
		`mean`, 1.0,
		`measure`, 1.0,
		`media`, 1.0,
		`medical`, 1.0,
		`meet`, 1.0,
		`meeting`, 1.0,
		`member`, 1.0,
		`memory`, 1.0,
		`mention`, 1.0,
		`message`, 1.0,
		`method`, 1.0,
		`middle`, 1.0,
		`might`, 1.0,
		`military`, 1.0,
		`million`, 1.0,
		`mind`, 1.0,
		`minute`, 1.0,
		`miss`, 1.0,
		`mission`, 1.0,
		`model`, 1.0,
		`modern`, 1.0,
		`moment`, 1.0,
		`money`, 1.0,
		`month`, 1.0,
		`more`, 1.0,
		`morning`, 1.0,
		`most`, 1.0,
		`mother`, 1.0,
		`mouth`, 1.0,
		`move`, 1.0,
		`movement`, 1.0,
		`movie`, 1.0,
		`Mr`, 1.0,
		`Mrs`, 1.0,
		`much`, 1.0,
		`music`, 1.0,
		`must`, 1.0,
		`my`, 1.0,
		`myself`, 1.0,
		`name`, 1.0,
		`nation`, 1.0,
		`national`, 1.0,
		`natural`, 1.0,
		`nature`, 1.0,
		`near`, 1.0,
		`nearly`, 1.0,
		`necessary`, 1.0,
		`need`, 1.0,
		`network`, 1.0,
		`never`, 1.0,
		`new`, 1.0,
		`news`, 1.0,
		`newspaper`, 1.0,
		`next`, 1.0,
		`nice`, 1.0,
		`night`, 1.0,
		`no`, 1.0,
		`none`, 1.0,
		`nor`, 1.0,
		`north`, 1.0,
		`not`, 1.0,
		`note`, 1.0,
		`nothing`, 1.0,
		`notice`, 1.0,
		`now`, 1.0,
		`number`, 1.0,
		`occur`, 1.0,
		`of`, 1.0,
		`off`, 1.0,
		`offer`, 1.0,
		`office`, 1.0,
		`officer`, 1.0,
		`official`, 1.0,
		`often`, 1.0,
		`oil`, 1.0,
		`ok`, 1.0,
		`old`, 1.0,
		`on`, 1.0,
		`once`, 1.0,
		`one`, 1.0,
		`only`, 1.0,
		`onto`, 1.0,
		`open`, 1.0,
		`operation`, 1.0,
		`opportunity`, 1.0,
		`option`, 1.0,
		`or`, 1.0,
		`order`, 1.0,
		`organization`, 1.0,
		`other`, 1.0,
		`others`, 1.0,
		`our`, 1.0,
		`out`, 1.0,
		`outside`, 1.0,
		`over`, 1.0,
		`own`, 1.0,
		`owner`, 1.0,
		`page`, 1.0,
		`painting`, 1.0,
		`paper`, 1.0,
		`parent`, 1.0,
		`part`, 1.0,
		`participant`, 1.0,
		`particular`, 1.0,
		`particularly`, 1.0,
		`partner`, 1.0,
		`party`, 1.0,
		`pass`, 1.0,
		`past`, 1.0,
		`pattern`, 1.0,
		`pay`, 1.0,
		`peace`, 1.0,
		`people`, 1.0,
		`per`, 1.0,
		`perform`, 1.0,
		`performance`, 1.0,
		`perhaps`, 1.0,
		`person`, 1.0,
		`personal`, 1.0,
		`phone`, 1.0,
		`physical`, 1.0,
		`pick`, 1.0,
		`picture`, 1.0,
		`piece`, 1.0,
		`place`, 1.0,
		`plan`, 1.0,
		`plant`, 1.0,
		`play`, 1.0,
		`player`, 1.0,
		`PM`, 1.0,
		`point`, 1.0,
		`police`, 1.0,
		`policy`, 1.0,
		`political`, 1.0,
		`politics`, 1.0,
		`poor`, 1.0,
		`popular`, 1.0,
		`population`, 1.0,
		`position`, 1.0,
		`positive`, 1.0,
		`possible`, 1.0,
		`power`, 1.0,
		`practice`, 1.0,
		`prepare`, 1.0,
		`present`, 1.0,
		`president`, 1.0,
		`pressure`, 1.0,
		`pretty`, 1.0,
		`prevent`, 1.0,
		`price`, 1.0,
		`probably`, 1.0,
		`process`, 1.0,
		`produce`, 1.0,
		`product`, 1.0,
		`production`, 1.0,
		`professional`, 1.0,
		`professor`, 1.0,
		`program`, 1.0,
		`project`, 1.0,
		`property`, 1.0,
		`protect`, 1.0,
		`prove`, 1.0,
		`provide`, 1.0,
		`public`, 1.0,
		`pull`, 1.0,
		`purpose`, 1.0,
		`push`, 1.0,
		`put`, 1.0,
		`quality`, 1.0,
		`question`, 1.0,
		`quickly`, 1.0,
		`quite`, 1.0,
		`race`, 1.0,
		`radio`, 1.0,
		`raise`, 1.0,
		`range`, 1.0,
		`rate`, 1.0,
		`rather`, 1.0,
		`reach`, 1.0,
		`read`, 1.0,
		`ready`, 1.0,
		`real`, 1.0,
		`reality`, 1.0,
		`realize`, 1.0,
		`really`, 1.0,
		`reason`, 1.0,
		`receive`, 1.0,
		`recent`, 1.0,
		`recently`, 1.0,
		`recognize`, 1.0,
		`record`, 1.0,
		`red`, 1.0,
		`reduce`, 1.0,
		`reflect`, 1.0,
		`region`, 1.0,
		`relate`, 1.0,
		`relationship`, 1.0,
		`religious`, 1.0,
		`remain`, 1.0,
		`remember`, 1.0,
		`report`, 1.0,
		`represent`, 1.0,
		`Republican`, 1.0,
		`require`, 1.0,
		`research`, 1.0,
		`resource`, 1.0,
		`respond`, 1.0,
		`response`, 1.0,
		`responsibility`, 1.0,
		`rest`, 1.0,
		`result`, 1.0,
		`return`, 1.0,
		`reveal`, 1.0,
		`rich`, 1.0,
		`right`, 1.0,
		`rise`, 1.0,
		`risk`, 1.0,
		`road`, 1.0,
		`rock`, 1.0,
		`role`, 1.0,
		`room`, 1.0,
		`rule`, 1.0,
		`run`, 1.0,
		`safe`, 1.0,
		`same`, 1.0,
		`save`, 1.0,
		`say`, 1.0,
		`scene`, 1.0,
		`school`, 1.0,
		`science`, 1.0,
		`scientist`, 1.0,
		`score`, 1.0,
		`sea`, 1.0,
		`season`, 1.0,
		`seat`, 1.0,
		`second`, 1.0,
		`section`, 1.0,
		`security`, 1.0,
		`see`, 1.0,
		`seek`, 1.0,
		`seem`, 1.0,
		`sell`, 1.0,
		`send`, 1.0,
		`senior`, 1.0,
		`sense`, 1.0,
		`series`, 1.0,
		`serious`, 1.0,
		`serve`, 1.0,
		`service`, 1.0,
		`set`, 1.0,
		`seven`, 1.0,
		`several`, 1.0,
		`shake`, 1.0,
		`share`, 1.0,
		`she`, 1.0,
		`short`, 1.0,
		`should`, 1.0,
		`shoulder`, 1.0,
		`show`, 1.0,
		`side`, 1.0,
		`sign`, 1.0,
		`significant`, 1.0,
		`similar`, 1.0,
		`simple`, 1.0,
		`simply`, 1.0,
		`since`, 1.0,
		`sing`, 1.0,
		`single`, 1.0,
		`sister`, 1.0,
		`sit`, 1.0,
		`site`, 1.0,
		`situation`, 1.0,
		`six`, 1.0,
		`size`, 1.0,
		`skill`, 1.0,
		`skin`, 1.0,
		`small`, 1.0,
		`smile`, 1.0,
		`so`, 1.0,
		`social`, 1.0,
		`society`, 1.0,
		`soldier`, 1.0,
		`some`, 1.0,
		`somebody`, 1.0,
		`someone`, 1.0,
		`something`, 1.0,
		`sometimes`, 1.0,
		`son`, 1.0,
		`song`, 1.0,
		`soon`, 1.0,
		`sort`, 1.0,
		`sound`, 1.0,
		`source`, 1.0,
		`south`, 1.0,
		`southern`, 1.0,
		`space`, 1.0,
		`speak`, 1.0,
		`special`, 1.0,
		`specific`, 1.0,
		`speech`, 1.0,
		`spend`, 1.0,
		`sport`, 1.0,
		`spring`, 1.0,
		`staff`, 1.0,
		`stage`, 1.0,
		`stand`, 1.0,
		`standard`, 1.0,
		`star`, 1.0,
		`start`, 1.0,
		`state`, 1.0,
		`statement`, 1.0,
		`station`, 1.0,
		`stay`, 1.0,
		`step`, 1.0,
		`still`, 1.0,
		`stock`, 1.0,
		`stop`, 1.0,
		`store`, 1.0,
		`story`, 1.0,
		`strategy`, 1.0,
		`street`, 1.0,
		`strong`, 1.0,
		`structure`, 1.0,
		`student`, 1.0,
		`study`, 1.0,
		`stuff`, 1.0,
		`style`, 1.0,
		`subject`, 1.0,
		`success`, 1.0,
		`successful`, 1.0,
		`such`, 1.0,
		`suddenly`, 1.0,
		`suffer`, 1.0,
		`suggest`, 1.0,
		`summer`, 1.0,
		`support`, 1.0,
		`sure`, 1.0,
		`surface`, 1.0,
		`system`, 1.0,
		`table`, 1.0,
		`take`, 1.0,
		`talk`, 1.0,
		`task`, 1.0,
		`tax`, 1.0,
		`teach`, 1.0,
		`teacher`, 1.0,
		`team`, 1.0,
		`technology`, 1.0,
		`television`, 1.0,
		`tell`, 1.0,
		`ten`, 1.0,
		`tend`, 1.0,
		`term`, 1.0,
		`test`, 1.0,
		`than`, 1.0,
		`thank`, 1.0,
		`that`, 1.0,
		`the`, 1.0,
		`their`, 1.0,
		`them`, 1.0,
		`themselves`, 1.0,
		`then`, 1.0,
		`theory`, 1.0,
		`there`, 1.0,
		`these`, 1.0,
		`they`, 1.0,
		`thing`, 1.0,
		`think`, 1.0,
		`third`, 1.0,
		`this`, 1.0,
		`those`, 1.0,
		`though`, 1.0,
		`thought`, 1.0,
		`thousand`, 1.0,
		`threat`, 1.0,
		`three`, 1.0,
		`through`, 1.0,
		`throughout`, 1.0,
		`throw`, 1.0,
		`thus`, 1.0,
		`time`, 1.0,
		`to`, 1.0,
		`today`, 1.0,
		`together`, 1.0,
		`tonight`, 1.0,
		`too`, 1.0,
		`top`, 1.0,
		`total`, 1.0,
		`tough`, 1.0,
		`toward`, 1.0,
		`town`, 1.0,
		`trade`, 1.0,
		`traditional`, 1.0,
		`training`, 1.0,
		`travel`, 1.0,
		`treat`, 1.0,
		`treatment`, 1.0,
		`tree`, 1.0,
		`trial`, 1.0,
		`trip`, 1.0,
		`trouble`, 1.0,
		`true`, 1.0,
		`truth`, 1.0,
		`try`, 1.0,
		`turn`, 1.0,
		`TV`, 1.0,
		`two`, 1.0,
		`type`, 1.0,
		`under`, 1.0,
		`understand`, 1.0,
		`unit`, 1.0,
		`until`, 1.0,
		`up`, 1.0,
		`upon`, 1.0,
		`us`, 1.0,
		`use`, 1.0,
		`usually`, 1.0,
		`value`, 1.0,
		`various`, 1.0,
		`very`, 1.0,
		`view`, 1.0,
		`visit`, 1.0,
		`voice`, 1.0,
		`vote`, 1.0,
		`wait`, 1.0,
		`walk`, 1.0,
		`wall`, 1.0,
		`want`, 1.0,
		`war`, 1.0,
		`watch`, 1.0,
		`water`, 1.0,
		`way`, 1.0,
		`we`, 1.0,
		`wear`, 1.0,
		`week`, 1.0,
		`weight`, 1.0,
		`well`, 1.0,
		`west`, 1.0,
		`western`, 1.0,
		`what`, 1.0,
		`whatever`, 1.0,
		`when`, 1.0,
		`where`, 1.0,
		`whether`, 1.0,
		`which`, 1.0,
		`while`, 1.0,
		`white`, 1.0,
		`who`, 1.0,
		`whole`, 1.0,
		`whom`, 1.0,
		`whose`, 1.0,
		`why`, 1.0,
		`wide`, 1.0,
		`wife`, 1.0,
		`will`, 1.0,
		`win`, 1.0,
		`wind`, 1.0,
		`window`, 1.0,
		`wish`, 1.0,
		`with`, 1.0,
		`within`, 1.0,
		`without`, 1.0,
		`woman`, 1.0,
		`wonder`, 1.0,
		`word`, 1.0,
		`work`, 1.0,
		`worker`, 1.0,
		`world`, 1.0,
		`worry`, 1.0,
		`would`, 1.0,
		`write`, 1.0,
		`writer`, 1.0,
		`wrong`, 1.0,
		`yard`, 1.0,
		`yeah`, 1.0,
		`year`, 1.0,
		`yes`, 1.0,
		`yet`, 1.0,
		`you`, 1.0,
		`young`, 1.0,
		`your`, 1.0,
		`yourself`, 1.0,
	)
}

func streetSuffix() *weightedEntries {
	return makeWeightedEntries(
		`Alley`, 1.0,
		`Avenue`, 1.0,
		`Branch`, 1.0,
		`Bridge`, 1.0,
		`Brook`, 1.0,
		`Brooks`, 1.0,
		`Burg`, 1.0,
		`Burgs`, 1.0,
		`Bypass`, 1.0,
		`Camp`, 1.0,
		`Canyon`, 1.0,
		`Cape`, 1.0,
		`Causeway`, 1.0,
		`Center`, 1.0,
		`Centers`, 1.0,
		`Circle`, 1.0,
		`Circles`, 1.0,
		`Cliff`, 1.0,
		`Cliffs`, 1.0,
		`Club`, 1.0,
		`Common`, 1.0,
		`Corner`, 1.0,
		`Corners`, 1.0,
		`Course`, 1.0,
		`Court`, 1.0,
		`Courts`, 1.0,
		`Cove`, 1.0,
		`Coves`, 1.0,
		`Creek`, 1.0,
		`Crescent`, 1.0,
		`Crest`, 1.0,
		`Crossing`, 1.0,
		`Crossroad`, 1.0,
		`Curve`, 1.0,
		`Dale`, 1.0,
		`Dam`, 1.0,
		`Divide`, 1.0,
		`Drive`, 1.0,
		`Drive`, 1.0,
		`Drives`, 1.0,
		`Estate`, 1.0,
		`Estates`, 1.0,
		`Expressway`, 1.0,
		`Extension`, 1.0,
		`Extensions`, 1.0,
		`Fall`, 1.0,
		`Falls`, 1.0,
		`Ferry`, 1.0,
		`Field`, 1.0,
		`Fields`, 1.0,
		`Flat`, 1.0,
		`Flats`, 1.0,
		`Ford`, 1.0,
		`Fords`, 1.0,
		`Forest`, 1.0,
		`Forge`, 1.0,
		`Forges`, 1.0,
		`Fork`, 1.0,
		`Forks`, 1.0,
		`Fort`, 1.0,
		`Freeway`, 1.0,
		`Garden`, 1.0,
		`Gardens`, 1.0,
		`Gateway`, 1.0,
		`Glen`, 1.0,
		`Glens`, 1.0,
		`Green`, 1.0,
		`Greens`, 1.0,
		`Grove`, 1.0,
		`Groves`, 1.0,
		`Harbor`, 1.0,
		`Harbors`, 1.0,
		`Haven`, 1.0,
		`Heights`, 1.0,
		`Highway`, 1.0,
		`Hill`, 1.0,
		`Hills`, 1.0,
		`Hollow`, 1.0,
		`Inlet`, 1.0,
		`Inlet`, 1.0,
		`Island`, 1.0,
		`Island`, 1.0,
		`Islands`, 1.0,
		`Islands`, 1.0,
		`Isle`, 1.0,
		`Isle`, 1.0,
		`Junction`, 1.0,
		`Junctions`, 1.0,
		`Key`, 1.0,
		`Keys`, 1.0,
		`Knoll`, 1.0,
		`Knolls`, 1.0,
		`Lake`, 1.0,
		`Lakes`, 1.0,
		`Land`, 1.0,
		`Landing`, 1.0,
		`Lane`, 1.0,
		`Light`, 1.0,
		`Lights`, 1.0,
		`Loaf`, 1.0,
		`Lock`, 1.0,
		`Locks`, 1.0,
		`Locks`, 1.0,
		`Lodge`, 1.0,
		`Lodge`, 1.0,
		`Loop`, 1.0,
		`Mall`, 1.0,
		`Manor`, 1.0,
		`Manors`, 1.0,
		`Meadow`, 1.0,
		`Meadows`, 1.0,
		`Mews`, 1.0,
		`Mill`, 1.0,
		`Mills`, 1.0,
		`Mission`, 1.0,
		`Mission`, 1.0,
		`Motorway`, 1.0,
		`Mount`, 1.0,
		`Mountain`, 1.0,
		`Mountain`, 1.0,
		`Mountains`, 1.0,
		`Mountains`, 1.0,
		`Neck`, 1.0,
		`Orchard`, 1.0,
		`Oval`, 1.0,
		`Overpass`, 1.0,
		`Park`, 1.0,
		`Parks`, 1.0,
		`Parkway`, 1.0,
		`Parkways`, 1.0,
		`Pass`, 1.0,
		`Passage`, 1.0,
		`Path`, 1.0,
		`Pike`, 1.0,
		`Pine`, 1.0,
		`Pines`, 1.0,
		`Place`, 1.0,
		`Plain`, 1.0,
		`Plains`, 1.0,
		`Plains`, 1.0,
		`Plaza`, 1.0,
		`Plaza`, 1.0,
		`Point`, 1.0,
		`Points`, 1.0,
		`Port`, 1.0,
		`Port`, 1.0,
		`Ports`, 1.0,
		`Ports`, 1.0,
		`Prairie`, 1.0,
		`Prairie`, 1.0,
		`Radial`, 1.0,
		`Ramp`, 1.0,
		`Ranch`, 1.0,
		`Rapid`, 1.0,
		`Rapids`, 1.0,
		`Rest`, 1.0,
		`Ridge`, 1.0,
		`Ridges`, 1.0,
		`River`, 1.0,
		`Road`, 1.0,
		`Road`, 1.0,
		`Roads`, 1.0,
		`Roads`, 1.0,
		`Route`, 1.0,
		`Row`, 1.0,
		`Rue`, 1.0,
		`Run`, 1.0,
		`Shoal`, 1.0,
		`Shoals`, 1.0,
		`Shore`, 1.0,
		`Shores`, 1.0,
		`Skyway`, 1.0,
		`Spring`, 1.0,
		`Springs`, 1.0,
		`Springs`, 1.0,
		`Spur`, 1.0,
		`Spurs`, 1.0,
		`Square`, 1.0,
		`Square`, 1.0,
		`Squares`, 1.0,
		`Squares`, 1.0,
		`Station`, 1.0,
		`Station`, 1.0,
		`Stravenue`, 1.0,
		`Stravenue`, 1.0,
		`Stream`, 1.0,
		`Stream`, 1.0,
		`Street`, 1.0,
		`Street`, 1.0,
		`Streets`, 1.0,
		`Summit`, 1.0,
		`Summit`, 1.0,
		`Terrace`, 1.0,
		`Throughway`, 1.0,
		`Trace`, 1.0,
		`Track`, 1.0,
		`Trafficway`, 1.0,
		`Trail`, 1.0,
		`Trail`, 1.0,
		`Tunnel`, 1.0,
		`Tunnel`, 1.0,
		`Turnpike`, 1.0,
		`Turnpike`, 1.0,
		`Underpass`, 1.0,
		`Union`, 1.0,
		`Unions`, 1.0,
		`Valley`, 1.0,
		`Valleys`, 1.0,
		`Via`, 1.0,
		`Viaduct`, 1.0,
		`View`, 1.0,
		`Views`, 1.0,
		`Village`, 1.0,
		`Village`, 1.0,
		`Villages`, 1.0,
		`Ville`, 1.0,
		`Vista`, 1.0,
		`Vista`, 1.0,
		`Walk`, 1.0,
		`Walks`, 1.0,
		`Wall`, 1.0,
		`Way`, 1.0,
		`Ways`, 1.0,
		`Well`, 1.0,
		`Wells`, 1.0,
	)
}

// Top 200 names of the decade from the 60's-90's from,
// https,//www.ssa.gov/OACT/babynames/decades/names1960s.html
// Weightings derived from total number on each name

func firstNameFemale() *weightedEntries {
	return makeWeightedEntries(
		`April`, 0.004529083,
		`Abigail`, 0.002043839,
		`Adriana`, 0.000488767,
		`Adrienne`, 0.000622931,
		`Aimee`, 0.000424727,
		`Alejandra`, 0.000415754,
		`Alexa`, 0.000663005,
		`Alexandra`, 0.002835711,
		`Alexandria`, 0.000964993,
		`Alexis`, 0.003446735,
		`Alice`, 0.000589904,
		`Alicia`, 0.003766845,
		`Alisha`, 0.000475942,
		`Alison`, 0.001506047,
		`Allison`, 0.003740866,
		`Alyssa`, 0.00324341,
		`Amanda`, 0.015360768,
		`Amber`, 0.006928794,
		`Amy`, 0.012860314,
		`Ana`, 0.000853679,
		`Andrea`, 0.006747028,
		`Angel`, 0.001161117,
		`Angela`, 0.011954085,
		`Angelica`, 0.001102746,
		`Angie`, 0.00030166,
		`Anita`, 0.001383767,
		`Ann`, 0.002627483,
		`Anna`, 0.004691502,
		`Anne`, 0.002089582,
		`Annette`, 0.001487399,
		`Ariana`, 0.000412668,
		`Ariel`, 0.000615774,
		`Ashlee`, 0.000696534,
		`Ashley`, 0.014773009,
		`Audrey`, 0.001139165,
		`Autumn`, 0.000918594,
		`Bailey`, 0.000691916,
		`Barbara`, 0.004839169,
		`Becky`, 0.000960944,
		`Belinda`, 0.000502227,
		`Beth`, 0.002246113,
		`Bethany`, 0.001249385,
		`Betty`, 0.000840241,
		`Beverly`, 0.000990272,
		`Bianca`, 0.000624835,
		`Bonnie`, 0.001351901,
		`Brandi`, 0.002077216,
		`Brandy`, 0.002177499,
		`Breanna`, 0.000876003,
		`Brenda`, 0.005737124,
		`Briana`, 0.00093665,
		`Brianna`, 0.002543549,
		`Bridget`, 0.000787232,
		`Brittany`, 0.007258404,
		`Brittney`, 0.001566147,
		`Brooke`, 0.002410152,
		`Caitlin`, 0.001808319,
		`Caitlyn`, 0.000481194,
		`Candace`, 0.000550662,
		`Candice`, 0.000653199,
		`Carla`, 0.00195185,
		`Carly`, 0.000498725,
		`Carmen`, 0.000891783,
		`Carol`, 0.002972719,
		`Caroline`, 0.001198127,
		`Carolyn`, 0.002647225,
		`Carrie`, 0.002934659,
		`Casey`, 0.001177707,
		`Cassandra`, 0.002501243,
		`Cassidy`, 0.000452129,
		`Cassie`, 0.000344886,
		`Catherine`, 0.004460622,
		`Cathy`, 0.001413248,
		`Charlene`, 0.000538865,
		`Charlotte`, 0.000530417,
		`Chelsea`, 0.00280043,
		`Chelsey`, 0.000368501,
		`Cheryl`, 0.004166447,
		`Cheyenne`, 0.000696907,
		`Chloe`, 0.000565807,
		`Christie`, 0.000397873,
		`Christina`, 0.008735669,
		`Christine`, 0.007488758,
		`Christy`, 0.00141861,
		`Cindy`, 0.003360109,
		`Claire`, 0.000553835,
		`Claudia`, 0.00096055,
		`Colleen`, 0.001836203,
		`Connie`, 0.001821845,
		`Courtney`, 0.00484939,
		`Cristina`, 0.000328734,
		`Crystal`, 0.006365045,
		`Cynthia`, 0.007655379,
		`Daisy`, 0.000437443,
		`Dana`, 0.003395805,
		`Danielle`, 0.006671783,
		`Darlene`, 0.000952737,
		`Dawn`, 0.005014983,
		`Deanna`, 0.002049026,
		`Debbie`, 0.001842922,
		`Deborah`, 0.005386088,
		`Debra`, 0.004123572,
		`Denise`, 0.004592291,
		`Desiree`, 0.000991497,
		`Destiny`, 0.001055515,
		`Diamond`, 0.000331732,
		`Diana`, 0.003699348,
		`Diane`, 0.003058996,
		`Dominique`, 0.000847857,
		`Donna`, 0.00570819,
		`Doris`, 0.000398026,
		`Dorothy`, 0.000722426,
		`Ebony`, 0.000399624,
		`Eileen`, 0.000544271,
		`Elaine`, 0.000601175,
		`Elizabeth`, 0.014954075,
		`Ellen`, 0.000747267,
		`Emily`, 0.009100581,
		`Emma`, 0.001272059,
		`Erica`, 0.004344471,
		`Erika`, 0.002105537,
		`Erin`, 0.005450719,
		`Evelyn`, 0.000825095,
		`Faith`, 0.000427113,
		`Felicia`, 0.001717294,
		`Frances`, 0.000546897,
		`Gabriela`, 0.000526937,
		`Gabriella`, 0.00044123,
		`Gabrielle`, 0.001090096,
		`Gail`, 0.00071934,
		`Gina`, 0.002841095,
		`Glenda`, 0.000384982,
		`Gloria`, 0.001155623,
		`Grace`, 0.00087202,
		`Gwendolyn`, 0.000407831,
		`Hailey`, 0.000662917,
		`Haley`, 0.001557939,
		`Hannah`, 0.004189822,
		`Hayley`, 0.000478305,
		`Heather`, 0.010945254,
		`Heidi`, 0.002239941,
		`Helen`, 0.000636675,
		`Holly`, 0.003487028,
		`Isabel`, 0.000352305,
		`Isabella`, 0.000410282,
		`Jackie`, 0.000566748,
		`Jaclyn`, 0.00047708,
		`Jacqueline`, 0.004811242,
		`Jade`, 0.000446264,
		`Jaime`, 0.000853175,
		`Jamie`, 0.005067663,
		`Jane`, 0.0009486,
		`Janet`, 0.002489993,
		`Janice`, 0.001593308,
		`Jasmin`, 0.000333374,
		`Jasmine`, 0.003025422,
		`Jean`, 0.000815969,
		`Jeanette`, 0.000767293,
		`Jeanne`, 0.000515381,
		`Jenna`, 0.001804052,
		`Jennifer`, 0.029218839,
		`Jenny`, 0.000932667,
		`Jessica`, 0.020047608,
		`Jill`, 0.003253018,
		`Jillian`, 0.000988587,
		`Jo`, 0.000442083,
		`Joan`, 0.000802793,
		`Joann`, 0.000544336,
		`Joanna`, 0.001176284,
		`Joanne`, 0.000729824,
		`Jocelyn`, 0.000456878,
		`Jodi`, 0.001252405,
		`Jody`, 0.000741861,
		`Jordan`, 0.001653057,
		`Joy`, 0.000916515,
		`Joyce`, 0.001009488,
		`Judith`, 0.000870706,
		`Judy`, 0.001101586,
		`Julia`, 0.003301891,
		`Julie`, 0.008211731,
		`Kaitlin`, 0.000674473,
		`Kaitlyn`, 0.001478623,
		`Kara`, 0.001549119,
		`Karen`, 0.009643845,
		`Kari`, 0.000794323,
		`Karina`, 0.000494764,
		`Karla`, 0.000387696,
		`Katelyn`, 0.001476128,
		`Katherine`, 0.006581479,
		`Kathleen`, 0.00503549,
		`Kathryn`, 0.004177806,
		`Kathy`, 0.002710214,
		`Katie`, 0.003056216,
		`Katrina`, 0.001565446,
		`Kayla`, 0.004621465,
		`Kaylee`, 0.000551734,
		`Kelli`, 0.000932163,
		`Kellie`, 0.000299187,
		`Kelly`, 0.009342929,
		`Kelsey`, 0.002470383,
		`Kendra`, 0.001401079,
		`Kerri`, 0.000316215,
		`Kerry`, 0.000352984,
		`Kiara`, 0.000390037,
		`Kim`, 0.002518642,
		`Kimberly`, 0.015594077,
		`Kirsten`, 0.000369486,
		`Krista`, 0.001266872,
		`Kristen`, 0.004345587,
		`Kristi`, 0.001022926,
		`Kristie`, 0.000380189,
		`Kristin`, 0.003613728,
		`Kristina`, 0.002316281,
		`Kristine`, 0.000977709,
		`Kristy`, 0.001097734,
		`Krystal`, 0.001238113,
		`Kylie`, 0.00049739,
		`Lacey`, 0.00045469,
		`Latasha`, 0.00032904,
		`Latoya`, 0.000646371,
		`Laura`, 0.010815096,
		`Lauren`, 0.007015421,
		`Laurie`, 0.002200786,
		`Leah`, 0.001997571,
		`Leslie`, 0.003606134,
		`Linda`, 0.006437751,
		`Lindsay`, 0.002185466,
		`Lindsey`, 0.002646153,
		`Lisa`, 0.01872729,
		`Loretta`, 0.000482945,
		`Lori`, 0.006040316,
		`Lorraine`, 0.000486753,
		`Lydia`, 0.000370274,
		`Lynn`, 0.001522308,
		`Mackenzie`, 0.000761056,
		`Madeline`, 0.000808921,
		`Madison`, 0.002011184,
		`Makayla`, 0.000439391,
		`Mallory`, 0.000688633,
		`Mandy`, 0.000355566,
		`Marcia`, 0.000403213,
		`Margaret`, 0.003839968,
		`Maria`, 0.006593123,
		`Mariah`, 0.00097598,
		`Marie`, 0.001520229,
		`Marilyn`, 0.000590889,
		`Marisa`, 0.000339983,
		`Marissa`, 0.001582627,
		`Martha`, 0.001290028,
		`Mary`, 0.014288466,
		`Maureen`, 0.000753855,
		`Mckenzie`, 0.000334512,
		`Meagan`, 0.000729999,
		`Megan`, 0.007686786,
		`Meghan`, 0.001481578,
		`Melanie`, 0.003400117,
		`Melinda`, 0.002078113,
		`Melissa`, 0.014890692,
		`Melody`, 0.000404264,
		`Mercedes`, 0.000334643,
		`Meredith`, 0.000766987,
		`Mia`, 0.000319935,
		`Michaela`, 0.000506998,
		`Michele`, 0.003519551,
		`Michelle`, 0.01527423,
		`Mikayla`, 0.000410195,
		`Mindy`, 0.000306891,
		`Miranda`, 0.001421193,
		`Misty`, 0.001564614,
		`Molly`, 0.001710641,
		`Monica`, 0.004324095,
		`Monique`, 0.001272125,
		`Morgan`, 0.002527025,
		`Nancy`, 0.005023343,
		`Natalie`, 0.003658398,
		`Natasha`, 0.001739815,
		`Nichole`, 0.001001237,
		`Nicole`, 0.011156655,
		`Nina`, 0.000298115,
		`Norma`, 0.000470754,
		`Olivia`, 0.001967609,
		`Paige`, 0.001106313,
		`Pam`, 0.000374454,
		`Pamela`, 0.005816222,
		`Patricia`, 0.008349353,
		`Patty`, 0.000383493,
		`Paula`, 0.002478284,
		`Peggy`, 0.000810606,
		`Penny`, 0.000836564,
		`Phyllis`, 0.000562437,
		`Priscilla`, 0.000350226,
		`Rachael`, 0.001098128,
		`Rachel`, 0.00876108,
		`Raven`, 0.000404855,
		`Rebecca`, 0.010563161,
		`Rebekah`, 0.000858581,
		`Regina`, 0.001941739,
		`Renee`, 0.00257883,
		`Rhonda`, 0.002879221,
		`Rita`, 0.000719187,
		`Roberta`, 0.000461715,
		`Robin`, 0.00409199,
		`Robyn`, 0.00032138,
		`Rose`, 0.000697125,
		`Ruth`, 0.001041946,
		`Sabrina`, 0.001920969,
		`Sally`, 0.000532912,
		`Samantha`, 0.008186124,
		`Sandra`, 0.006473426,
		`Sandy`, 0.000497106,
		`Sara`, 0.005619879,
		`Sarah`, 0.014434273,
		`Savannah`, 0.000978344,
		`Selena`, 0.000329106,
		`Shannon`, 0.005952552,
		`Shari`, 0.000449043,
		`Sharon`, 0.004796469,
		`Shawna`, 0.000354209,
		`Sheena`, 0.000355763,
		`Sheila`, 0.00220129,
		`Shelby`, 0.001575601,
		`Shelia`, 0.000403673,
		`Shelley`, 0.000922227,
		`Shelly`, 0.001339469,
		`Sheri`, 0.000913166,
		`Sherri`, 0.001285038,
		`Sherry`, 0.002445235,
		`Sheryl`, 0.00057025,
		`Shirley`, 0.000833259,
		`Sierra`, 0.000954816,
		`Sonia`, 0.000332739,
		`Sonya`, 0.000914085,
		`Sophia`, 0.000535976,
		`Stacey`, 0.002836761,
		`Stacie`, 0.0003903,
		`Stacy`, 0.00311717,
		`Stefanie`, 0.00034644,
		`Stephanie`, 0.013595762,
		`Sue`, 0.000472877,
		`Summer`, 0.000411508,
		`Susan`, 0.0088973,
		`Suzanne`, 0.001943577,
		`Sydney`, 0.001220101,
		`Sylvia`, 0.000625798,
		`Tabitha`, 0.000428404,
		`Tamara`, 0.00212948,
		`Tami`, 0.000403651,
		`Tammie`, 0.00042337,
		`Tammy`, 0.006493584,
		`Tanya`, 0.002039024,
		`Tara`, 0.00316834,
		`Tasha`, 0.000355807,
		`Taylor`, 0.003996871,
		`Teresa`, 0.005060003,
		`Terri`, 0.001823903,
		`Terry`, 0.00060494,
		`Theresa`, 0.003492762,
		`Tiffany`, 0.006594283,
		`Tina`, 0.005186419,
		`Toni`, 0.000891695,
		`Tonya`, 0.002404133,
		`Tracey`, 0.001511146,
		`Traci`, 0.00086193,
		`Tracie`, 0.000301901,
		`Tracy`, 0.00498572,
		`Tricia`, 0.000449196,
		`Valerie`, 0.003218022,
		`Vanessa`, 0.003779189,
		`Veronica`, 0.003017805,
		`Vicki`, 0.00088653,
		`Vickie`, 0.000695199,
		`Victoria`, 0.005237677,
		`Virginia`, 0.001496482,
		`Wanda`, 0.001336186,
		`Wendy`, 0.004058263,
		`Whitney`, 0.001690768,
		`Yesenia`, 0.000331951,
		`Yolanda`, 0.001213819,
		`Yvette`, 0.000483427,
		`Yvonne`, 0.001005483,
		`Zoe`, 0.000367407,
	)
}

func firstNameMale() *weightedEntries {
	return makeWeightedEntries(
		`Aaron`, 0.006741589,
		`Adam`, 0.007124922,
		`Adrian`, 0.001521889,
		`Alan`, 0.002344657,
		`Albert`, 0.001316595,
		`Alec`, 0.000442958,
		`Alejandro`, 0.000862489,
		`Alex`, 0.002111833,
		`Alexander`, 0.005215733,
		`Alexis`, 0.000277915,
		`Alfred`, 0.000318919,
		`Allen`, 0.001679613,
		`Alvin`, 0.00024794,
		`Andre`, 0.001400621,
		`Andres`, 0.000335574,
		`Andrew`, 0.013475074,
		`Angel`, 0.000902262,
		`Anthony`, 0.013783357,
		`Antonio`, 0.002392535,
		`Arthur`, 0.001342637,
		`Austin`, 0.003785615,
		`Barry`, 0.001102751,
		`Benjamin`, 0.006535474,
		`Bernard`, 0.000298691,
		`Bill`, 0.000430013,
		`Billy`, 0.001749806,
		`Blake`, 0.001218155,
		`Bob`, 0.000235731,
		`Bobby`, 0.001666977,
		`Brad`, 0.000984544,
		`Bradley`, 0.003845018,
		`Brady`, 0.000277522,
		`Brandon`, 0.009518346,
		`Brendan`, 0.000736758,
		`Brent`, 0.001889131,
		`Brett`, 0.002248371,
		`Brian`, 0.01597677,
		`Bruce`, 0.001883335,
		`Bryan`, 0.00456454,
		`Bryce`, 0.000457406,
		`Caleb`, 0.001485861,
		`Calvin`, 0.001168738,
		`Cameron`, 0.00180755,
		`Carl`, 0.002011802,
		`Carlos`, 0.00266638,
		`Casey`, 0.001440035,
		`Cesar`, 0.000304898,
		`Chad`, 0.003858817,
		`Charles`, 0.010889881,
		`Chase`, 0.000971942,
		`Chris`, 0.001389507,
		`Christian`, 0.003097779,
		`Christopher`, 0.02783596,
		`Clarence`, 0.000299289,
		`Clayton`, 0.000662222,
		`Clifford`, 0.00053078,
		`Clinton`, 0.000579307,
		`Cody`, 0.00353482,
		`Cole`, 0.000578811,
		`Colin`, 0.00078508,
		`Collin`, 0.000406057,
		`Colton`, 0.000520845,
		`Connor`, 0.000981073,
		`Corey`, 0.002476612,
		`Cory`, 0.001813005,
		`Craig`, 0.00338161,
		`Cristian`, 0.000333847,
		`Curtis`, 0.002140235,
		`Dakota`, 0.000797614,
		`Dale`, 0.001171354,
		`Dalton`, 0.000615113,
		`Damon`, 0.00034308,
		`Dan`, 0.000388496,
		`Daniel`, 0.018881874,
		`Danny`, 0.001873879,
		`Darin`, 0.000234962,
		`Darius`, 0.000336189,
		`Darrell`, 0.001218582,
		`Darren`, 0.001253738,
		`Darryl`, 0.00067019,
		`Daryl`, 0.000260918,
		`Dave`, 0.000269673,
		`David`, 0.031073833,
		`Dean`, 0.000965375,
		`Dennis`, 0.003318992,
		`Derek`, 0.003095299,
		`Derrick`, 0.001955921,
		`Devin`, 0.001312474,
		`Devon`, 0.000485877,
		`Dillon`, 0.000558361,
		`Dominic`, 0.000438221,
		`Don`, 0.000378322,
		`Donald`, 0.005689572,
		`Douglas`, 0.004513687,
		`Drew`, 0.000596868,
		`Duane`, 0.00061855,
		`Dustin`, 0.003088938,
		`Dwayne`, 0.000711382,
		`Dylan`, 0.002329096,
		`Earl`, 0.000348347,
		`Eddie`, 0.0007944,
		`Edgar`, 0.000379536,
		`Eduardo`, 0.000465358,
		`Edward`, 0.005702242,
		`Edwin`, 0.001117833,
		`Elijah`, 0.000592183,
		`Eric`, 0.012024659,
		`Erik`, 0.001997096,
		`Ernest`, 0.000746556,
		`Ethan`, 0.001143978,
		`Eugene`, 0.000784243,
		`Evan`, 0.001570691,
		`Fernando`, 0.000557608,
		`Francis`, 0.000330837,
		`Francisco`, 0.001084335,
		`Frank`, 0.003276449,
		`Franklin`, 0.000237561,
		`Fred`, 0.000396618,
		`Frederick`, 0.001104188,
		`Gabriel`, 0.001906504,
		`Garrett`, 0.001124861,
		`Gary`, 0.005023109,
		`Gavin`, 0.000295373,
		`Gene`, 0.00023426,
		`Geoffrey`, 0.000425978,
		`George`, 0.004423984,
		`Gerald`, 0.00165841,
		`Gilbert`, 0.000246726,
		`Glen`, 0.000374338,
		`Glenn`, 0.001111421,
		`Gordon`, 0.00027075,
		`Grant`, 0.00068322,
		`Greg`, 0.000623492,
		`Gregg`, 0.000235885,
		`Gregory`, 0.007676443,
		`Guy`, 0.000262645,
		`Harold`, 0.000929467,
		`Harry`, 0.000586934,
		`Hayden`, 0.000279454,
		`Hector`, 0.000798691,
		`Henry`, 0.001856232,
		`Herbert`, 0.000234226,
		`Howard`, 0.000712921,
		`Hunter`, 0.001034679,
		`Ian`, 0.001863192,
		`Isaac`, 0.001001951,
		`Isaiah`, 0.000625441,
		`Ivan`, 0.000350433,
		`Jack`, 0.001839748,
		`Jackson`, 0.000403253,
		`Jacob`, 0.007845384,
		`Jaime`, 0.000421378,
		`Jake`, 0.000565782,
		`James`, 0.029601617,
		`Jamie`, 0.00093552,
		`Jared`, 0.002538802,
		`Jason`, 0.01520513,
		`Javier`, 0.000625202,
		`Jay`, 0.001411462,
		`Jeff`, 0.001271436,
		`Jeffery`, 0.002627873,
		`Jeffrey`, 0.01225709,
		`Jeremiah`, 0.001209605,
		`Jeremy`, 0.006336079,
		`Jermaine`, 0.000450156,
		`Jerome`, 0.000634299,
		`Jerry`, 0.003150273,
		`Jesse`, 0.003884552,
		`Jesus`, 0.001628965,
		`Jim`, 0.000567714,
		`Jimmy`, 0.001607489,
		`Joe`, 0.001621544,
		`Joel`, 0.002537742,
		`John`, 0.028683008,
		`Johnathan`, 0.000840448,
		`Johnny`, 0.002117065,
		`Jon`, 0.001561184,
		`Jonathan`, 0.009963971,
		`Jonathon`, 0.000701157,
		`Jordan`, 0.003451546,
		`Jorge`, 0.001180553,
		`Jose`, 0.005368207,
		`Joseph`, 0.018604763,
		`Joshua`, 0.014808101,
		`Juan`, 0.003233598,
		`Julian`, 0.000693736,
		`Justin`, 0.010197889,
		`Karl`, 0.000362437,
		`Keith`, 0.004622866,
		`Kelly`, 0.000775283,
		`Kenneth`, 0.008318145,
		`Kent`, 0.000329418,
		`Kerry`, 0.000261448,
		`Kevin`, 0.014324157,
		`Kirk`, 0.0003801,
		`Kristopher`, 0.000580692,
		`Kurt`, 0.000716375,
		`Kyle`, 0.006350049,
		`Lance`, 0.001048495,
		`Larry`, 0.003658807,
		`Lawrence`, 0.001670294,
		`Lee`, 0.001223883,
		`Leon`, 0.000236347,
		`Leonard`, 0.000756713,
		`Leroy`, 0.000260234,
		`Leslie`, 0.000234637,
		`Levi`, 0.000347184,
		`Logan`, 0.001325812,
		`Lonnie`, 0.000258576,
		`Louis`, 0.001212255,
		`Lucas`, 0.001098237,
		`Luis`, 0.002427777,
		`Luke`, 0.001221455,
		`Malik`, 0.000306813,
		`Manuel`, 0.001331369,
		`Marc`, 0.001431947,
		`Marco`, 0.000290586,
		`Marcus`, 0.002604122,
		`Mario`, 0.001229337,
		`Mark`, 0.014382277,
		`Martin`, 0.002085226,
		`Marvin`, 0.000732962,
		`Mason`, 0.000562037,
		`Mathew`, 0.000605555,
		`Matthew`, 0.020425018,
		`Maurice`, 0.000777078,
		`Max`, 0.000311276,
		`Maxwell`, 0.000357478,
		`Melvin`, 0.00061932,
		`Michael`, 0.045602241,
		`Micheal`, 0.001273847,
		`Miguel`, 0.001416267,
		`Mike`, 0.001221797,
		`Mitchell`, 0.001747788,
		`Nathan`, 0.005039405,
		`Nathaniel`, 0.001887558,
		`Neil`, 0.000240331,
		`Nicholas`, 0.010021219,
		`Nicolas`, 0.000362522,
		`Noah`, 0.000960947,
		`Norman`, 0.000389043,
		`Omar`, 0.000639052,
		`Oscar`, 0.000946583,
		`Parker`, 0.000277522,
		`Patrick`, 0.007153255,
		`Paul`, 0.009272953,
		`Pedro`, 0.000275726,
		`Perry`, 0.000258644,
		`Peter`, 0.004340385,
		`Philip`, 0.002262956,
		`Phillip`, 0.00280273,
		`Preston`, 0.000292022,
		`Ralph`, 0.000836891,
		`Randall`, 0.001614722,
		`Randy`, 0.003021926,
		`Ray`, 0.000379451,
		`Raymond`, 0.003493952,
		`Reginald`, 0.00095108,
		`Ricardo`, 0.001197276,
		`Richard`, 0.014131961,
		`Rick`, 0.000440016,
		`Rickey`, 0.00023833,
		`Ricky`, 0.001856882,
		`Riley`, 0.000322031,
		`Robert`, 0.026938092,
		`Roberto`, 0.000906024,
		`Rodney`, 0.002180555,
		`Roger`, 0.002038032,
		`Ronald`, 0.00576775,
		`Ronnie`, 0.000905938,
		`Ross`, 0.00026863,
		`Roy`, 0.001311346,
		`Ruben`, 0.000774821,
		`Russell`, 0.002096221,
		`Ryan`, 0.01128178,
		`Samuel`, 0.00498019,
		`Scott`, 0.010580999,
		`Sean`, 0.005593456,
		`Sergio`, 0.000568518,
		`Seth`, 0.001537416,
		`Shane`, 0.002530218,
		`Shannon`, 0.000421583,
		`Shaun`, 0.000748761,
		`Shawn`, 0.004474546,
		`Spencer`, 0.000912094,
		`Stanley`, 0.000739032,
		`Stephen`, 0.007675365,
		`Steve`, 0.001407564,
		`Steven`, 0.013292898,
		`Stuart`, 0.000238826,
		`Tanner`, 0.000639292,
		`Taylor`, 0.00133036,
		`Terrance`, 0.000203311,
		`Terrence`, 0.000203704,
		`Terry`, 0.002873624,
		`Theodore`, 0.000596561,
		`Thomas`, 0.0143364,
		`Tim`, 0.000711126,
		`Timothy`, 0.012632608,
		`Todd`, 0.00414612,
		`Tom`, 0.000499283,
		`Tommy`, 0.000778737,
		`Tony`, 0.002511563,
		`Tracy`, 0.000728259,
		`Travis`, 0.004022458,
		`Trevor`, 0.001692523,
		`Tristan`, 0.000408759,
		`Troy`, 0.002695415,
		`Tyler`, 0.005962323,
		`Tyrone`, 0.000587207,
		`Vernon`, 0.000246401,
		`Victor`, 0.002340621,
		`Vincent`, 0.002494515,
		`Walter`, 0.001525891,
		`Warren`, 0.000317414,
		`Wayne`, 0.00160966,
		`Wesley`, 0.001733835,
		`William`, 0.020025989,
		`Willie`, 0.001379247,
		`Wyatt`, 0.000306591,
		`Xavier`, 0.000415222,
		`Zachary`, 0.005918634,
	)
}

// Top 1000 US surnames from US Census data
// Weighted by number of occurrences
// By way of http,//names.mongabay.com/data/1000.html on 2/10/2016

func lastName() *weightedEntries {
	return makeWeightedEntries(
		`Smith`, 0.021712045,
		`Johnson`, 0.01696938,
		`Williams`, 0.014016962,
		`Brown`, 0.012610763,
		`Jones`, 0.012451866,
		`Miller`, 0.010305045,
		`Davis`, 0.009798219,
		`Garcia`, 0.007842422,
		`Rodriguez`, 0.007348561,
		`Wilson`, 0.007154951,
		`Martinez`, 0.007082045,
		`Anderson`, 0.006966203,
		`Taylor`, 0.006582218,
		`Thomas`, 0.006493824,
		`Hernandez`, 0.006454314,
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